Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating ...

AI can help with those tasks. Recursive self-improvement takes that a step further: An AI helps build a successor that is ...

After an OpenAI model presented a possible solution to the Navier-Stokes problem, mathematicians are speculating about which ...

E-graphs, originally developed for use in automated theorem provers, are data structures that compactly represent a large number of expressions and the equalities between them. Recently, a technique ...

The Turing Machine is a cornerstone concept, introduced by British mathematician and computer scientist Alan Turing in the mid-20th century. This abstract device, capable of performing any computation ...

Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands. CiTIUS Intelligent Technologies Research Centre, Rúa de Jenaro de la Fuente, s/n, ...

This study unravels a concerning capability in Large Language Models (LLMs): the ability to understand and induce deception strategies. As LLMs like GPT-4 intertwine with human communication, aligning ...

Understanding how neural networks learn features, or relevant patterns in data, for prediction is necessary for their reliable use in technological and scientific applications. In this work, we ...

Games have a long history as benchmarks for progress in artificial intelligence. Approaches using search and learning produced strong performance across many perfect information games, and approaches ...